{"id":"https://openalex.org/W1980506199","doi":"https://doi.org/10.1109/ieem.2011.6117932","title":"Clustering variables selection in Mass Customized scenarios affected by workers' learning","display_name":"Clustering variables selection in Mass Customized scenarios affected by workers' learning","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W1980506199","doi":"https://doi.org/10.1109/ieem.2011.6117932","mag":"1980506199"},"language":"en","primary_location":{"id":"doi:10.1109/ieem.2011.6117932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem.2011.6117932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Industrial Engineering and Engineering Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069862796","display_name":"Michel J. Anzanello","orcid":"https://orcid.org/0000-0002-4421-7004"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"M. J. Anzanello","raw_affiliation_strings":["Federal University of Rio Grande do Sul, Porto Alegre, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Rio Grande do Sul, Porto Alegre, Brazil","institution_ids":["https://openalex.org/I130442723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071396234","display_name":"Fl\u00e1vio S. Fogliatto","orcid":"https://orcid.org/0000-0002-0323-8060"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"F. S. Fogliatto","raw_affiliation_strings":["Federal University of Rio Grande do Sul, Porto Alegre, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Rio Grande do Sul, Porto Alegre, Brazil","institution_ids":["https://openalex.org/I130442723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069862796"],"corresponding_institution_ids":["https://openalex.org/I130442723"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.15240598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"327","last_page":"331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11729","display_name":"Product Development and Customization","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11729","display_name":"Product Development and Customization","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10672","display_name":"Design Education and Practice","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8190752267837524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6658681631088257},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6394364237785339},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4392453134059906},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42411381006240845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3823033571243286},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.374845027923584}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8190752267837524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6658681631088257},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6394364237785339},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4392453134059906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42411381006240845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3823033571243286},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.374845027923584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieem.2011.6117932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem.2011.6117932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Industrial Engineering and Engineering Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W426619864","https://openalex.org/W1576373160","https://openalex.org/W1969124387","https://openalex.org/W1974214186","https://openalex.org/W1980553770","https://openalex.org/W1987286910","https://openalex.org/W1993831015","https://openalex.org/W1997032007","https://openalex.org/W2001896690","https://openalex.org/W2002173527","https://openalex.org/W2032260078","https://openalex.org/W2044436985","https://openalex.org/W2057453748","https://openalex.org/W2062458956","https://openalex.org/W2063446891","https://openalex.org/W2068498949","https://openalex.org/W2085914392","https://openalex.org/W2088879945","https://openalex.org/W2105387588","https://openalex.org/W2999729612","https://openalex.org/W4211126536","https://openalex.org/W4285719527","https://openalex.org/W4301375224"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671","https://openalex.org/W2083665254","https://openalex.org/W2942177010"],"abstract_inverted_index":{"In":[0],"Mass":[1],"Customized":[2],"applications,":[3],"clustering":[4,38,47,60,99],"procedures":[5,29],"enable":[6],"grouping":[7,51,123],"product":[8,53,70],"models":[9,54],"with":[10,96],"similar":[11],"processing":[12],"needs":[13],"into":[14,55],"families,":[15],"increasing":[16,121],"the":[17,34,86,108,113,122,127],"efficiency":[18],"of":[19,27,37,59,115],"production":[20],"programming":[21],"and":[22,72],"resources":[23],"allocation.":[24],"The":[25,83],"performance":[26],"such":[28],"is":[30],"highly":[31],"dependent":[32],"on":[33,69],"proper":[35],"choice":[36],"variables.":[39],"This":[40],"paper":[41],"proposes":[42],"a":[43,92,97,104],"method":[44,84,110],"to":[45,103],"select":[46],"variables":[48,61,116],"aimed":[49],"at":[50,91],"customized":[52],"families.":[56],"Two":[57],"groups":[58],"are":[62],"considered:":[63],"those":[64,73],"generated":[65],"by":[66],"expert":[67],"assessment":[68],"features,":[71],"representing":[74],"workers'":[75],"learning":[76,80],"rate,":[77],"obtained":[78],"through":[79,126],"curve":[81],"modeling.":[82],"integrates":[85],"\u201cleave":[87],"one":[88],"variable":[89],"out":[90],"time\u201d":[93],"elimination":[94],"procedure":[95],"k-means":[98],"technique.":[100],"When":[101],"applied":[102],"shoe":[105],"manufacturing":[106],"process,":[107],"proposed":[109],"significantly":[111],"reduced":[112],"number":[114],"required":[117],"for":[118],"clustering,":[119],"while":[120],"quality":[124],"measured":[125],"Silhouette":[128],"Index.":[129]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}